Browse by Subject "Artificial Intelligence"

  • Thearling, Kurt Henry (1990)
    In the past, research has shown that the use of high-level test knowledge can be used to greatly accelerate the test generation process. The problem was that no techniques were developed to extract this knowledge from a ...

    application/pdf

    application/pdfPDF (4MB)Restricted to U of Illinois
  • Laud, Adam Daniel (2004-05)
    Applying conventional reinforcement to complex domains requires the use of an overly simplified task model, or a large amount of training experience. This problem results from the need to experience everything about an ...

    application/pdf

    application/pdfPDF (749kB)
  • Hsu, William Henry (1998)
    The purpose of this research is to extend the theory of uncertain reasoning over time through integrated, multi-strategy learning. Its focus is on decomposable, concept learning problems for classification of spatiotemporal ...

    application/pdf

    application/pdfPDF (8MB)Restricted to U of Illinois
  • Tu, Pei-Lei (1989)
    The objective of this thesis is to design a new classification-tree algorithm which will outperform current algorithms with superior decision trees. The problem of generating a classification tree with the minimum path ...

    application/pdf

    application/pdfPDF (5MB)Restricted to U of Illinois
  • Levine, Geoffrey C. (2012-02-06)
    In order for a machine learning effort to succeed, an appropriate model must be chosen. This is a difficult task in which one must balance flexibility, so that the model can capture the complexities of the domain, and ...

    application/pdf

    application/pdfPDF (3MB)
  • Li, Xin (2005)
    In addition to entity identification, we also extend the generative probabilistic model to address a significant application that are related to concept-based text understanding and mining---semantic integration between ...

    application/pdf

    application/pdfPDF (4MB)Restricted to U of Illinois
  • Fu, Yun (2008)
    To demonstrate the effectiveness of the framework, an expert model of the query-driven locally adaptive (QDLA) method and four new subspace learning algorithms corresponding to different learning-locality criteria are ...

    application/pdf

    application/pdfPDF (3MB)Restricted to U of Illinois
  • Mahmud, M. M. Hassan (2008)
    Our distance measures and learning algorithms are based on powerful, elegant and beautiful ideas from the field of Algorithmic Information Theory. While developing our transfer learning mechanisms we also derive results ...

    application/pdf

    application/pdfPDF (2MB)Restricted to U of Illinois
  • Kamalnath, Vishnu Nath (2013-08-22)
    This thesis deals with incorporating artificial intelligence into a humanoid robot by making a cognitive model of the learning process. The goal is to “teach” a specialized humanoid robot, the iCub robot, to solve any ...

    application/pdf

    application/pdfPDF (2MB)
  • Wang, Li-Lun (2012-09-18)
    Statistical machine learning has achieved great success in many fields in the last few decades. However, there remain classification problems that computers still struggle to match human performance. Many such problems ...

    application/pdf

    application/pdfPDF (3MB)
  • Bruce, Bertram C. (1986)
    Commentary on VP2: The role of user modelling in correcting errors in second language learning by Ethel Schuster.

    application/pdf

    application/pdfPDF (71kB)
  • Zhu, Weiyu (2003)
    In addition to behavior learning, this dissertation initiates a novel research called automatic scene understanding by a robot, in which the robot is taught to learn scene semantics from multiple concept categories via the ...

    application/pdf

    application/pdfPDF (7MB)Restricted to U of Illinois
  • Ning, Huazhong (2008)
    The three approaches are applicable to different scenarios. Their effectiveness is tested on synthetic and real datasets.

    application/pdf

    application/pdfPDF (9MB)Restricted to U of Illinois